PhD Candidate Next Generation Medical Imaging Systems

Location: Erlangen, Germany
Job Type: Full-Time
Employer: Siemens Healthineers™
We at Siemens Healthineers are committed to helping healthcare providers globally to succeed in today's dynamic environment. We are inspired to transform the way things are done - because we want what is best for our people, our customers and ultimately the health of mankind.

While we are investing in engineering excellence - leading-edge medical technologies and services, we don't stop there. We're also investing in our 48.000 people with the hearts of pioneers and minds of engineers, highly committed and connected in the healthcare industry.

Join Siemens Healthineers as PhD Candidate (m/f) Next Generation Medical Imaging Systems in Erlangen.

If you are ambitious and change makes you thrive, be part of our innovation team and support research and pre-development of our next generation medical imaging systems.

  • You will implement a novel digital data acquisition system
  • Furthermore you will investigate new hard and software architectures for up to 100 GBit/second
  • You will implement the connection between the data acquisition and data reconstruction system
  • You will select and optimize hard and software architecture for imaging reconstruction, in particular GPU and FPGA based solutions
  • You will enhance and optimize image reconstruction
  • You will develop and investigate novel image reconstruction algorithms
  • You work closely with internal business partners as well as academic partners in Europe and the USA

This position may suit you best, if you have a passion for medical imaging technologies.

  • You have completed a master or diploma degree in the area of electrical engineering, medical engineering, informatics, physics or comparable
  • Practical experience, in particular in the area of medical ultrasound and x-ray imaging, is advantageous
  • Knowledge of image reconstruction and post-processing algorithms and tools is beneficial
  • You possess strong attitude towards digital electronics and multi-gigabit data transmission systems
  • Experience in GPU and/or FPGA programming is advantageous; you are eager to build up expert knowledge in hardware acceleration and high data rate processing
  • You will primarily be located in Erlangen/Germany, but you are willing to spend up to 3 months at a foreign business site
  • High proficiency in spoken and written English is required. Basic communication skills in German are advantageous

Apply for this job

About Siemens Healthineers
Siemens Healthineers is the separately managed healthcare business of Siemens AG enabling healthcare providers worldwide to meet their current challenges and to excel in their respective environments. A leader in medical technology, Siemens Healthineers is constantly innovating its portfolio of products and services in its core areas of diagnostic and therapeutic imaging and in laboratory diagnostics and molecular medicine. Siemens Healthineers is also actively developing its digital health services and enterprise services. To help customers succeed in today's dynamic healthcare marketplace, Siemens Healthineers is championing new business models that maximize opportunity and minimize risk for healthcare providers. In fiscal 2016, which ended on September 30, 2016, Siemens Healthineers generated revenue of €13.5 billion and net income of over €2.3 billion and has about 46,000 employees worldwide.

Post your job offer now to start hiring the best digital health talent! For further information, please contact us.

Most Popular Now

Using Data and AI to Create Better Healt…

Academic medical centers could transform patient care by adopting principles from learning health systems principles, according to researchers from Weill Cornell Medicine and the University of California, San Diego. In...

AI Medical Receptionist Modernizing Doct…

A virtual medical receptionist named "Cassie," developed through research at Texas A&M University, is transforming the way patients interact with health care providers. Cassie is a digital-human assistant created by Humanate...

Northern Ireland Completes Nationwide Ro…

Go-lives at Western and Southern health and social care trusts mean every pathology service is using the same laboratory information management system; improving efficiency and quality. An ambitious technology project to...

AI Tool Set to Transform Characterisatio…

A multinational team of researchers, co-led by the Garvan Institute of Medical Research, has developed and tested a new AI tool to better characterise the diversity of individual cells within...

AI Detects Hidden Heart Disease Using Ex…

Mass General Brigham researchers have developed a new AI tool in collaboration with the United States Department of Veterans Affairs (VA) to probe through previously collected CT scans and identify...

Human-AI Collectives Make the Most Accur…

Diagnostic errors are among the most serious problems in everyday medical practice. AI systems - especially large language models (LLMs) like ChatGPT-4, Gemini, or Claude 3 - offer new ways...

MHP-Net: A Revolutionary AI Model for Ac…

Liver cancer is the sixth most common cancer globally and a leading cause of cancer-related deaths. Accurate segmentation of liver tumors is a crucial step for the management of the...

Highland Marketing Announced as Official…

Highland Marketing has been named, for the second year running, the official communications partner for HETT Show 2025, the UK's leading digital health conference and exhibition. Taking place 7-8 October...

Groundbreaking TACIT Algorithm Offers Ne…

Researchers at VCU Massey Comprehensive Cancer Center have developed a novel algorithm that could provide a revolutionary tool for determining the best options for patients - both in the treatment...